Google Professional-Cloud-Developer

Google Professional-Cloud-Developer 認定試験の出題範囲：

参照：https://cloud.google.com/certification/cloud-developer

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Google Certified Professional - Cloud Developer 認定 Professional-Cloud-Developer 試験問題：

問題 #1
You need to copy directory local-scripts and all of its contents from your local workstation to a Compute Engine virtual machine instance.
Which command should you use?

A. gsutil cp --project "my-gcp-project" -r ~/local-scripts/ gcp-instance- name:~/server-scripts/ --zone
"us-east1-b"
B. gcloud compute mv --project "my-gcp-project" --recurse ~/local-scripts/ gcp- instance- name:~/server-scripts/ --zone "us-east1-b"
C. gcloud compute scp --project "my-gcp-project" --recurse ~/local-scripts/ gcp-instance- name:~/server-scripts/ --zone "us-east1-b"
D. gsutil cp --project "my-gcp-project" -R ~/local-scripts/ gcp-instance- name:~/server-scripts/ --zone
"us-east1-b"

問題 #2
You have an application deployed in production. When a new version is deployed, you want to ensure that all production traffic is routed to the new version of your application. You also want to keep the previous version deployed so that you can revert to it if there is an issue with the new version.
Which deployment strategy should you use?

A. Recreate deployment
B. Rolling deployment
C. Canary deployment
D. Blue/green deployment

問題 #3
Your company's development teams want to use Cloud Build in their projects to build and push Docker images to Container Registry. The operations team requires all Docker images to be published to a centralized, securely managed Docker registry that the operations team manages.
What should you do?

A. Create a separate project for the operations team that has Container Registry configured.
Assign appropriate permissions to the Cloud Build service account in each developer team's project to allow access to the operation team's registry.
B. Create a separate project for the operations team that has Container Registry configured.
Create a Service Account for each development team and assign the appropriate permissions to allow it access to the operations team's registry.
Store the service account key file in the source code repository and use it to authenticate against the operations team's registry.
C. Use Container Registry to create a registry in each development team's project.
Configure the Cloud Build build to push the Docker image to the project's registry.
Grant the operations team access to each development team's registry.
D. Create a separate project for the operations team that has the open source Docker Registry deployed on a Compute Engine virtual machine instance.
Create a username and password for each development team.
Store the username and password in the source code repository and use it to authenticate against the operations team's Docker registry.

問題 #4
Your application is built as a custom machine image. You have multiple unique deployments of the machine image. Each deployment is a separate managed instance group with its own template. Each deployment requires a unique set of configuration values. You want to provide these unique values to each deployment but use the same custom machine image in all deployments. You want to use out-of-the-box features of Compute Engine.
What should you do?

A. Place the unique configuration values in the instance template instance metadata.
B. Place the unique configuration values in a Cloud Bigtable table.
C. Place the unique configuration values in the persistent disk.
D. Place the unique configuration values in the instance template startup script.

問題 #5
You are building a CI/CD pipeline that consists of a version control system, Cloud Build, and Container Registry. Each time a new tag is pushed to the repository, a Cloud Build job is triggered, which runs unit tests on the new code builds a new Docker container image, and pushes it into Container Registry. The last step of your pipeline should deploy the new container to your production Google Kubernetes Engine (GKE) cluster. You need to select a tool and deployment strategy that meets the following requirements:
- Zero downtime is incurred
- Testing is fully automated
- Allows for testing before being rolled out to users
- Can quickly rollback if needed
What should you do?

A. Trigger another Cloud Build job that uses the Kubernetes CLI tools to deploy your new container to your GKE cluster, where you can perform a canary test.
B. Trigger a Spinnaker pipeline configured as a canary test of your new code and, if it is successful, deploy the container to production.
C. Trigger a Spinnaker pipeline configured as an A/B test of your new code and, if it is successful, deploy the container to production.
D. Trigger another Cloud Build job that uses the Kubernetes CLI tools to deploy your new container to your GKE cluster, where you can perform a shadow test.

解説：